Also, if you wanted a static version that would drop all those cells in
addition to a tag you could use the regexRemovePreprocessor (with an
nbconvert config option) to automatically remove all cells that match a
regular expression that matches exactly those characters.
On Tue, Dec 26, 2017 at
Can we programmatically have the notebook "forget" all prior code snippets
as well so we effectively have a "clean" environment for a new section?
On Wednesday, 20 December 2017 05:33:30 UTC-5, Fernando Perez wrote:
>
> On Mon, Dec 18, 2017 at 10:48 PM, Roland Weber >
Thanks Fernando!
On Wednesday, 20 December 2017 05:33:30 UTC-5, Fernando Perez wrote:
>
> On Mon, Dec 18, 2017 at 10:48 PM, Roland Weber > wrote:
>
>> Restart the kernel before each section. That will clear all state in
>> memory, and reset the execution count
>>
>
> You
If you want a clean environment you can include a cell that runs
%reset -f
That will reset your environment to a clean state if you don’t want any of
the variables to carry over. But then people would need to execute that
cell.
On Tue, Dec 26, 2017 at 06:43
I'm running a jupyter notebook server and occasionally I also make use of
the terminals on the server. I noticed that when I open one of these web
based terminals, it does not appear to source my .profile which sets an
LD_LIBRARY_PATH variable needed for some libraries. Is there a way I can
On Wednesday, December 27, 2017 at 9:44:28 AM UTC+13, Gideon Simpson wrote:
>
> ... when I open one of these web based terminals, it does not appear to
> source my .profile which sets an LD_LIBRARY_PATH variable needed for some
> libraries.
>
>From the docs
As explained by Lawrence: set your LD_LIBRARY_PATH in .bashrc instead of
.profile.
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On Tuesday, December 26, 2017 at 3:42:23 PM UTC+1, insearcho...@gmail.com
wrote:
>
> But once I ship out the notebook to others, they'd need to do the same as
> they execute cells, correct?
>
Once you ship out the notebook to others, they can execute and re-execute
cells in whatever order they
Hello Tony,
have a look at Miniconda. It has about 35 MB, instead of the 500+MB of a
full Anaconda installer. Then create an Anaconda environment that has only
the packages relevant for your environment:
1. Miniconda
2. Jupyter Notebook and dependencies
3. additional science packages
Then